Underwater Imaging Using Underwater Vehicle for Subsea Surveillance
This Final Year Project (FYP) focuses on the improvement of images captured through the built-in underwater camera in the HydroView MAX, which is a Remotely-operated Vehicle (ROV) used to perform inspections in subsea environment. Images captured underwater are always degraded due to issues such as...
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2015
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Online Access: | http://utpedia.utp.edu.my/15603/1/Lim%20Sheng%20Soon%2014932%20FINAL%20DISSERTATION.pdf http://utpedia.utp.edu.my/15603/ |
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my-utp-utpedia.156032017-01-25T09:35:49Z http://utpedia.utp.edu.my/15603/ Underwater Imaging Using Underwater Vehicle for Subsea Surveillance Soon, Lim Sheng TK Electrical engineering. Electronics Nuclear engineering This Final Year Project (FYP) focuses on the improvement of images captured through the built-in underwater camera in the HydroView MAX, which is a Remotely-operated Vehicle (ROV) used to perform inspections in subsea environment. Images captured underwater are always degraded due to issues such as light scattering and colour changes. Image-processing algorithms are applied to improve the degraded images so that the images obtained will be enhanced and closer to their true colours for further analysis. These qualities are required so that the degree of corrosion of the underwater pipelines can be estimated with considerable reliability. The estimation of the corrosion degree is made possible by judging on the percentage of corroded surface over the pipeline surface based on the binary image generated. IRC 2015-04 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15603/1/Lim%20Sheng%20Soon%2014932%20FINAL%20DISSERTATION.pdf Soon, Lim Sheng (2015) Underwater Imaging Using Underwater Vehicle for Subsea Surveillance. IRC, Universiti Teknologi PETRONAS. (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering Soon, Lim Sheng Underwater Imaging Using Underwater Vehicle for Subsea Surveillance |
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This Final Year Project (FYP) focuses on the improvement of images captured through the built-in underwater camera in the HydroView MAX, which is a Remotely-operated Vehicle (ROV) used to perform inspections in subsea environment. Images captured underwater are always degraded due to issues such as light scattering and colour changes. Image-processing algorithms are applied to improve the degraded images so that the images obtained will be enhanced and closer to their true colours for further analysis. These qualities are required so that the degree of corrosion of the underwater pipelines can be estimated with considerable reliability. The estimation of the corrosion degree is made possible by judging on the percentage of corroded surface over the pipeline surface based on the binary image generated. |
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Final Year Project |
author |
Soon, Lim Sheng |
author_facet |
Soon, Lim Sheng |
author_sort |
Soon, Lim Sheng |
title |
Underwater Imaging Using Underwater Vehicle for Subsea Surveillance |
title_short |
Underwater Imaging Using Underwater Vehicle for Subsea Surveillance |
title_full |
Underwater Imaging Using Underwater Vehicle for Subsea Surveillance |
title_fullStr |
Underwater Imaging Using Underwater Vehicle for Subsea Surveillance |
title_full_unstemmed |
Underwater Imaging Using Underwater Vehicle for Subsea Surveillance |
title_sort |
underwater imaging using underwater vehicle for subsea surveillance |
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IRC |
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2015 |
url |
http://utpedia.utp.edu.my/15603/1/Lim%20Sheng%20Soon%2014932%20FINAL%20DISSERTATION.pdf http://utpedia.utp.edu.my/15603/ |
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13.211869 |